Publication | Open Access
Acrophile
107
Citations
6
References
2000
Year
Unknown Venue
Natural Language ProcessingEngineeringInformation RetrievalData ScienceComputational LinguisticsKnowledge DiscoveryKeyword ExtractionTerminology ExtractionComputer ScienceAbbreviation LookupHeuristic Extraction ProcessSemantic WebData ExtractionInformation ExtractionWeb ServerNamed-entity RecognitionCorpus LinguisticsText Mining
We implemented a web server for acronym and abbreviation lookup, containing a collection of acronyms and their expansions gathered from a large number of web pages by a heuristic extraction process. Several different extraction algorithms were evaluated and compared. The corpus resulting from the best algorithm is comparable to a high-quality hand-crafted site, but has the potential to be much more inclusive as data from more web pages are processed.
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